Training and Scalable Algorithms provides expertise in the development, optimisation and use of scalable methods for high-performance computing applications.

The focus includes numerical algorithms, parallel programming, performance engineering, code optimisation, scalability analysis and training for users developing or running complex simulation workflows.

For engineering and automotive applications, this expertise supports the efficient use of HPC resources, the improvement of simulation performance and the preparation of software for modern and future computing architectures.

The activities are relevant for researchers, developers and engineering teams working with large-scale codes, simulation workflows and performance-critical applications.